Data quality is, to use the technical term, pretty dang difficult. It's the main reason why free or incredibly cheap data sources don't cut it. In this blog, we’re going to share why data quality matters, why it’s so difficult, and how Intrinio is tackling it for our customers.
Developer or analyst? Real-time or historical data? There are several questions to ask when choosing the right access method for your financial data. Here's a breakdown of the five access methods that Intrinio offers so you can pick the perfect access tool for your use case.
Real-time market data is a critical component for virtually every investment-focused fintech and financial institution. Here’s a look at what kind of real-time market data Intrinio provides, our primary delivery methods, and why it pays to get real-time stock data from Intrinio.
Real-time options pricing data can be prohibitively expensive. A filtered options data feed eliminates unactionable data to reduce bandwidth up to 80 percent. In this blog, we’ll explain why options data is so expensive and how filtered options delivers more value and less noise.
Terminals might prepare some future financial analysts, but they won’t prepare students for a wide swath of available finance careers. Fintech isn’t going anywhere – but sadly, terminals aren’t keeping up. Here are five reasons why terminals aren’t meeting the needs of universities.
How can your school provide advanced online tools while improving engagement? With Intrinio Academic Labs – interactive, hands-on programs designed to help students apply data analytics skills to solve real-world financial problems. Learn how these Labs are advancing financial education.
XBRL represents a massive shift in financial reporting, and it impacts what data you can access, how accurate that data is, and how difficult and expensive retrieving it will be for your company. We’ve put together a simple primer to explain what XBRL is and what it means for you.
In this post, Intrinio guest blogger Pedro Lealdino demonstrates how to install Intrinio's Python software development kit, how to import the data of the assets for analysis through the Intrinio API, and how to create a heatmap of the correlations of the returns of these assets.
No one ever said running a startup was easy (definitely not us). We asked some of our customers what financial data challenges they faced while trying to build successful fintech startups. Here are four of the roadblocks they encountered (and how your business can overcome them).
Publicly traded companies have been required to submit digital financial filings to the SEC since 2009. Banks file digitally with the FDIC, and in Singapore public, private, and all government agencies file digitally. But here in the US, we are painfully behind the times.